JPS63126075A - Image processor - Google Patents

Image processor

Info

Publication number
JPS63126075A
JPS63126075A JP61271772A JP27177286A JPS63126075A JP S63126075 A JPS63126075 A JP S63126075A JP 61271772 A JP61271772 A JP 61271772A JP 27177286 A JP27177286 A JP 27177286A JP S63126075 A JPS63126075 A JP S63126075A
Authority
JP
Japan
Prior art keywords
filter
memory
image
data
pixel
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP61271772A
Other languages
Japanese (ja)
Inventor
Masaaki Yasumoto
安本 雅昭
Yuji Kirii
桐井 裕司
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nachi Fujikoshi Corp
Original Assignee
Nachi Fujikoshi Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nachi Fujikoshi Corp filed Critical Nachi Fujikoshi Corp
Priority to JP61271772A priority Critical patent/JPS63126075A/en
Publication of JPS63126075A publication Critical patent/JPS63126075A/en
Pending legal-status Critical Current

Links

Landscapes

  • Image Processing (AREA)

Abstract

PURPOSE:To execute proper filter processing to a feature to be emphasized by using a filter factor determined by the brightness of peripheral image around a picture element. CONSTITUTION:The data consisting of mXm picture elements around a picture element (i, j) are transferred from an original image memory 1 to a 1st picture element segmenting device 3 by an address counter 2 and the brightness of the image consisting of mXm picture elements is added to the data by an adder 5. The added value is stored in a filter factor storing memory 6. On the other hand, data consisting of 3X3 picture elements around the (i, j) are sent from the memory 1 to a 2nd picture element segmenting device 4. The data are transferred to a product summing device 7 by the 2nd switch 4 and the memory 6. The product summing device 7 executes multiplication and addition of the filter factor selected by the added result and the data of 3X3 picture elements and the calculated result is stored in an computed result storing memory 8 on the basis of an address applied from the address counter 2.

Description

【発明の詳細な説明】 (産業上の利用分野) 本発明はTVカメラより入力された画像の特徴となる部
分の強調、抽出等の画像処理を行う画像処理装置に関す
る。
DETAILED DESCRIPTION OF THE INVENTION (Field of Industrial Application) The present invention relates to an image processing apparatus that performs image processing such as emphasizing and extracting characteristic parts of an image input from a TV camera.

(従来の技術) 従来から、画像処理においてTVカメラより入力された
画像に対し、特徴となる部分を認識する目的でその特徴
部分のみを強調する空間フィルター処理を施してい7t
a Lかしながら入力された画像に、複数個の異っt物
体が映されている場合又は物体に対する背景が全く違っ
てい比りする場合等では、同一のフィルター処理では特
徴の部分のみを明確に強調することができないことがあ
った。こfLヲ解決する方法としてフィルター係数を変
化させて入力画像に適し之フィルター処理を行うものが
特開昭61−201372号公報で提案されている。し
かしながらこの方法では各画素に対し、フィルター係数
を変化させるようにするときは予めどのような画像が入
力されるかが判っている必要があった。
(Prior art) Conventionally, in image processing, spatial filter processing has been applied to images input from a TV camera to emphasize only the characteristic parts in order to recognize the characteristic parts.
However, when the input image shows multiple different objects or when comparing completely different backgrounds to the objects, it is difficult to clarify only the characteristic parts with the same filter processing. There was something I cannot stress enough. As a method for solving this fL problem, Japanese Patent Application Laid-Open No. 61-201372 proposes a method in which the filter coefficients are changed to perform filter processing suitable for the input image. However, in this method, when changing the filter coefficient for each pixel, it is necessary to know in advance what kind of image will be input.

(発明が解決しようとする問題点) 本発明は従来のように、画像の全画素に対して固定の係
数をもっ之フィルタ処理を施した場合、複写体の表面状
態が異っていたり、同一複写体に明暗差があっ几り又は
注目すべき複写体の背景が異っていたりする等の場合の
ように、期待される部分の他にノイズとなって、他の部
分が強調されることが多くあつ之問題を解決し、本発明
ではどのような画像が入力されても、期待する画像の特
徴のみを強調ができるように、空間フィルタ処理を行う
各画素に対しその周辺画素の情報により、フィルタ係数
を決定中ろことができるような画像処理装置を提供する
ことを目的とする。
(Problems to be Solved by the Invention) The present invention solves the problem that when a filter process with fixed coefficients is applied to all pixels of an image as in the conventional method, the surface condition of the copy may be different or the same. When there is a large difference in brightness in a copy or the background of a noteworthy copy is different, noise may appear in addition to the expected parts, and other parts are emphasized. The present invention solves the problem of many hot images, and in order to be able to emphasize only the expected features of the image, no matter what kind of image is input, each pixel undergoing spatial filter processing is An object of the present invention is to provide an image processing device that can perform the following steps while determining filter coefficients.

(問題点を、解決する之めの手段) この九め本発明は、フィルター処理ができるようにされ
た原画像メモリと、フィルター係数を決定する几めのデ
ータとなる第1の画像を前記原画像メモリから切り出す
第1の画素切出器と、第1の画素切出器により切り出さ
れたデータを加算する加算器と、前記加算器の加算結果
をアドレスとして入力し複数のフィルター係数を格納す
るフィルター係数格納メモリど、前記原画像メモリから
フィルター処理するための第2の画像を切り出す第2の
画素切出器と、前記フィルター係数格納メモリから出力
される前記フィルター係数及び前記第2の画素切出器か
ら出力される前記第2の画像の間のフィルター演算を行
う積和器と、前記積和器の出力結果を格納する演算結果
格納メモリと、を有することを特徴とする画像処理装置
とし友ものである。
(Means for Solving the Problems) This ninth aspect of the present invention provides an original image memory capable of filter processing, and a first image serving as precise data for determining filter coefficients. a first pixel cutter that cuts out data from the image memory; an adder that adds the data cut out by the first pixel cutter; and an adder that inputs the addition result of the adder as an address and stores a plurality of filter coefficients. a filter coefficient storage memory, a second pixel cutter for cutting out a second image for filter processing from the original image memory; and a second pixel cutter for cutting out a second image for filter processing from the original image memory; An image processing device comprising: a product-summer that performs a filter operation between the second images outputted from the output device; and a calculation result storage memory that stores the output result of the product-summer. It's a friend.

(実施例) 一般的な空間フィルターは、例乏ば第3図に示すように
、512画素×512画素の画像において、3さ3画素
のフィルター処理を行うと演算後の値d’(1,j)は
式(1]で表わされる。
(Example) As shown in FIG. 3, for example, when a general spatial filter performs filter processing of 3 x 3 pixels on an image of 512 pixels x 512 pixels, the calculated value d'(1, j) is expressed by equation (1).

al (4,,1)=d(i−x、j−1)・A+d(
土+j−x)・B+d(1+1.j−1)・C+d(1
−1,j )・p+a(1,j )・B+a(i+1.
 j )・F+ a(i−x、、1+t)・G+d(1
,j+1)・H+d(1+1.j+1)・工 ・・・(
1]ここでA、B、C,D、E、F、G、H,■は、固
定のフィルター係数である。1.jは512 X 51
2の画素に対応するアドレスであり、d(1,5)は(
i、j)  点における明るさを意味する。
al (4,,1)=d(i-x,j-1)・A+d(
soil + j-x)・B+d(1+1.j-1)・C+d(1
-1,j )・p+a(1,j)・B+a(i+1.
j )・F+ a(i-x,,1+t)・G+d(1
, j+1)・H+d(1+1.j+1)・工・・・(
1] Here, A, B, C, D, E, F, G, H, ■ are fixed filter coefficients. 1. j is 512 x 51
This is the address corresponding to pixel 2, and d(1,5) is (
i, j) means the brightness at a point.

本発明では第2図に示すように、このフィルず ター係数を固定のものとはン1係Fl、 F2. F3
゜F4.F5.F6.F7.F8+ F9とする。F1
〜F9は、式(2)〜(1Gで表わされる。
In the present invention, as shown in FIG. 2, the filter coefficients are different from fixed filter coefficients: 1 coefficient Fl, F2 . F3
゜F4. F5. F6. F7. Set it to F8+F9. F1
~F9 is represented by formulas (2) ~ (1G).

F2 =f2 ()   ・・・(3)F3=j’a 
()   ・・・(4)F4 =J”4 ()   ・
・・(5)Fs =j’5()   ・・・(6)F6
 =j°6()   ・・・(7]F7  =j’r 
 ()      ・・・ (8)F8 =j’s (
)   ・・・(9)F9 =j’9()   ・・・
(IC1中心とするmxm画素の画11の明るさの和で
ある。この結果、本発明により得られるフィルター処理
結果は、弐qυとなる。
F2 = f2 () ... (3) F3 = j'a
() ... (4) F4 = J"4 () ・
... (5) Fs = j'5 () ... (6) F6
=j°6() ...(7]F7 =j'r
() ... (8)F8 =j's (
) ・・・(9)F9=j'9() ・・・
(This is the sum of the brightness of the pixel 11 of mxm pixels centered on the IC1. As a result, the filter processing result obtained by the present invention is 2qυ.

a’(i、j) =d(1−1、j−1)Fll +d
(1,j−1)・F2+d(1+i、、1−1)、F3
+a(i−x、j)・F4+d(1、j)・F5+d(
1+L、 j )・F6+ d(i−1,j+1 )φ
77+cl(1,j+1)・pg+a(4+t、、1+
x)@Fg・・・α〃 このようにフィルター係数は、フィルター処理を施こそ
うとする画素を中心とする周辺の画像状況(明るさ)に
よって、決定されるため強調しtい特徴に適切なフィル
ターを施こすことが可能となる。
a'(i, j) = d(1-1, j-1)Fll +d
(1,j-1)・F2+d(1+i,,1-1),F3
+a(i-x,j)・F4+d(1,j)・F5+d(
1+L, j)・F6+ d(i-1, j+1)φ
77+cl(1,j+1)・pg+a(4+t,,1+
x) @Fg...α〃 In this way, the filter coefficient is determined by the surrounding image condition (brightness) centered on the pixel for which filter processing is to be applied, so it is necessary to select an appropriate filter coefficient for the feature that is not to be emphasized. It becomes possible to apply a filter.

第1図は本発明の一実施例である画像処理装置のブロッ
ク図で、原画像メモリは、各画素の明るさを記憶する原
画像メモリ1と、メモリのアドレスを発生するアドレス
カウンタ2を含む。
FIG. 1 is a block diagram of an image processing device that is an embodiment of the present invention. The original image memory includes an original image memory 1 that stores the brightness of each pixel, and an address counter 2 that generates a memory address. .

アドレスカウンタ2により原画像メモリ11=う(i、
j)を中心としたmXm画素(mは正の整数)のデータ
が、第1の画素切出器3へ転送され、更に加算器5によ
りmXm画素の画像の明るさが加算される。この加算結
果はフィルター係数格納メモリ6の内容を選択するアド
レスとして与えられる。フィルター係数格納メモリ6で
選択されたフィルター係数は、式(2)乃至叫に示すF
l乃至F9となる。−力源画像メモリ1からは(1,j
) ’r中心とした3X3画素のデータが、第2の画素
切出器4へも送られる。実施例では3X3画素としたが
5X5.7X7画素のような他の数であってもよい。第
2の画素切出器4とフィルター係数格納メモリ6より、
積、flli7へデータが転送され、積和器7では前記
加算器5による加算結果により選択されたフィルター係
数と、前記3X3画素のデータとの乗算及び加算が行な
われ、前記式C1υで示すフィルター処理が施され、そ
してこの結果はアドレスカウンタ2によって与えられる
アドレスに基き、演算結果格納メモリ8へ格納さ九る。
Original image memory 11 = u(i,
The data of mXm pixels (m is a positive integer) centered at j) is transferred to the first pixel extractor 3, and the adder 5 adds the brightness of the mXm pixel image. This addition result is given as an address for selecting the contents of the filter coefficient storage memory 6. The filter coefficients selected in the filter coefficient storage memory 6 are F as shown in equations (2) to (2).
1 to F9. - From the power source image memory 1, (1, j
) 'r-centered 3×3 pixel data is also sent to the second pixel cutter 4. In the embodiment, the number of pixels is 3×3 pixels, but other numbers such as 5×5.7×7 pixels may be used. From the second pixel extractor 4 and filter coefficient storage memory 6,
The data is transferred to the product and fli7, and the product-summer 7 multiplies and adds the filter coefficient selected based on the addition result by the adder 5 and the data of the 3×3 pixels, and performs the filter processing shown by the formula C1υ. is applied, and this result is stored in the calculation result storage memory 8 based on the address given by the address counter 2.

(発明の効果) 本発明によれば、原画像の明るさの特徴により、それに
応じたフィルター係数を選択することができるので、ど
のような画像が入力されても適切なフィルター処理を施
こすことができ、期待する特徴のみを強調することがで
きる画像処理装着を提供するものとなった。
(Effects of the Invention) According to the present invention, filter coefficients can be selected depending on the brightness characteristics of the original image, so that no matter what image is input, appropriate filter processing can be performed. This provides an image processing device that can emphasize only the desired features.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図は本発明の一実施例である画像処理装置のブロッ
ク図、第2図は第1図示装置のフィルター処理の概要を
示す説明図、第3図は従来装置のフィルター処理の概要
を示す説明図である0 1・・・原画像メモリ  2・・・アドレスカウンタ3
・・・mXm画素(第1の画素)切出器4・・・3X3
画素(第2の画素)切出器5・・・加算器     6
・・・フィルター係数格納メモリ 7・・・積和器 8・・・演算結果格納メモリ
FIG. 1 is a block diagram of an image processing device that is an embodiment of the present invention, FIG. 2 is an explanatory diagram showing an overview of filter processing in the device shown in FIG. 1, and FIG. 3 is an overview of filter processing in a conventional device. An explanatory diagram of 0 1...Original image memory 2...Address counter 3
...mXm pixel (first pixel) cutter 4...3X3
Pixel (second pixel) extractor 5... adder 6
... Filter coefficient storage memory 7 ... Multiplier-summer 8 ... Calculation result storage memory

Claims (1)

【特許請求の範囲】[Claims] フィルター処理ができるようにされた原画像メモリと、
フィルター係数を決定するためのデータとなる第1の画
像を前記原画像メモリから切り出す第1の画素切出器と
、第1の画素切出器により切り出されたデータを加算す
る加算器と、前記加算器の加算結果をアドレスとして入
力し複数のフィルター係数を格納するフィルター係数格
納メモリと、前記原画像メモリからフィルター処理する
ための第2の画像を切り出す第2の画素切出器と、前記
フィルター係数格納メモリから出力される前記フィルタ
ー係数及び前記第2の画素切出器から出力される前記第
2の画像の間のフィルター演算を行う積和器と、前記積
和器の出力結果を格納する演算結果格納メモリと、を有
することを特徴とする画像処理装置。
Original image memory that can be filtered,
a first pixel cutter that cuts out a first image serving as data for determining a filter coefficient from the original image memory; an adder that adds the data cut out by the first pixel cutter; a filter coefficient storage memory that inputs the addition result of the adder as an address and stores a plurality of filter coefficients; a second pixel cutter that cuts out a second image for filter processing from the original image memory; and the filter. A product-sum unit that performs a filter operation between the filter coefficients output from the coefficient storage memory and the second image output from the second pixel extractor, and stores the output results of the product-sum unit. An image processing device comprising: a calculation result storage memory.
JP61271772A 1986-11-17 1986-11-17 Image processor Pending JPS63126075A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP61271772A JPS63126075A (en) 1986-11-17 1986-11-17 Image processor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP61271772A JPS63126075A (en) 1986-11-17 1986-11-17 Image processor

Publications (1)

Publication Number Publication Date
JPS63126075A true JPS63126075A (en) 1988-05-30

Family

ID=17504632

Family Applications (1)

Application Number Title Priority Date Filing Date
JP61271772A Pending JPS63126075A (en) 1986-11-17 1986-11-17 Image processor

Country Status (1)

Country Link
JP (1) JPS63126075A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1994017484A1 (en) * 1993-01-22 1994-08-04 Olympus Optical Co., Ltd. Image processor

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60125064A (en) * 1983-12-09 1985-07-04 Canon Inc Image signal processor
JPS60236580A (en) * 1984-05-10 1985-11-25 Fuji Xerox Co Ltd Picture processor
JPS61175862A (en) * 1985-01-31 1986-08-07 Fujitsu Ltd Picture processing device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS60125064A (en) * 1983-12-09 1985-07-04 Canon Inc Image signal processor
JPS60236580A (en) * 1984-05-10 1985-11-25 Fuji Xerox Co Ltd Picture processor
JPS61175862A (en) * 1985-01-31 1986-08-07 Fujitsu Ltd Picture processing device

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1994017484A1 (en) * 1993-01-22 1994-08-04 Olympus Optical Co., Ltd. Image processor
US5608824A (en) * 1993-01-22 1997-03-04 Olympus Optical Co., Ltd. Image processing apparatus in which filters having different filtering characteristics can be switched among themselves
CN1093968C (en) * 1993-01-22 2002-11-06 奥林柏斯光学工业株式会社 Image processor

Similar Documents

Publication Publication Date Title
CA1128144A (en) Method and apparatus for improved digital processing
EP1174824B1 (en) Noise reduction method utilizing color information, apparatus, and program for digital image processing
US5901242A (en) Method and apparatus for decoding spatiochromatically multiplexed color images using predetermined coefficients
US6404918B1 (en) Image demosaicing method utilizing directional smoothing
US5729631A (en) Image noise reduction system using a wiener variant filter in a pyramid image representation
US6151420A (en) Minimizing blocking artifacts in a filtered image
EP0540313B1 (en) Color adjustment for smoothing a boundary between color images
JPH02503241A (en) Digital image noise suppression method using SVD block transform
EP2018626B1 (en) Up-scaling
US7664338B2 (en) Perspective transformation of two-dimensional images
JP2005025696A (en) Image processor, image processing method, program, and storage medium
WO2013161111A1 (en) Image evaluation device, image selection device, image evaluation method, recording medium, and program
US6236750B1 (en) System and method for varying the color of reflective objects in digitized images
US5748792A (en) Large kernel filtering using a fixed-size block processor
EP3070670B1 (en) Using frequency decomposition for better color consistency in a synthesized region
Ramponi et al. A computational method for the design of 2-D nonlinear Volterra filters
JP4235306B2 (en) Low complexity, low memory consumption reverse dither method
JPS63126075A (en) Image processor
EP0584941B1 (en) Methods and apparatus for generating graphic patterns
JPS61201372A (en) Image processor
JP2734099B2 (en) Blur image synthesis processing method
JP2004530206A (en) Two-dimensional pyramid filter architecture
EP4068196A1 (en) High dynamic range tone mapping
JP5248719B1 (en) Image evaluation apparatus, image selection apparatus, image evaluation method, recording medium, and program
JPH02106734A (en) Picture composing device